Senior AI(Agentic AI) Engineer Management

Responsibilities:

● Design, develop, and deploy multi-agent AI systems using LangGraph and LangChain to

automate CRM processes, administrative tasks, and complex institutional workflows.

● Architect scalable, secure, and robust enterprise-grade generative and agentic AI

applications.

● Develop and optimize AI-driven automation solutions, enhancing institutional

communication efficiency.

● Ensure integration and seamless operation of AI systems with existing IT infrastructure,

primarily focusing on Microsoft Azure deployments.

● Develop and manage robust REST APIs using FastAPI to facilitate frontend-backend

integration.

● Containerize applications using Docker to ensure consistent deployment environments

and streamline DevOps workflows.

● Collaborate with frontend teams to integrate AI services effectively into user-facing

applications.

Technical Requirements:

● 5+ years of software engineering experience, primarily focused on Python development.

● 3+ years hands-on experience with Large Language Models (LLMs) , NLP, and

Multi-modal generative AI.

● Minimum 2 years' experience designing and implementing Generative AI multi-agent

systems with LangChain and LangGraph. And familiarity with, RAG-pipelines , Agentic

RAG, Redis, RabbitMQ , Pgvector and other Vector Databases .

● Should be well aware about MCPs(model context protocols).

● Strong knowledge of FastAPI for building efficient and reliable REST APIs.

● Proven proficiency in deploying scalable AI solutions using Microsoft Azure services.

● Extensive experience with Docker and containerization strategies to streamline

development and deployment.

● Contributions to open-source AI projects.

● Demonstrated frontend development or integration experience.

● Experience with AI Assistants like github Copilot and Cursor etc for fast coding and

execution of the project.

Preferred Qualifications:

● Bachelors, Master's or PhD in Computer Science, AI, or related field.

● Proven track record leading AI projects from conception through deployment in

enterprise or educational environments.

● Familiarity with enterprise CRM systems and AI-driven business process automation.